A typical use and interpretation of data envelopment analysis (DEA) targets is to identify performance goals that if achieved will project an inefficient decision making unit onto the efficiency frontier. This will occur, however, only if all other units maintain their same input and output levels, which is rarely the case over time. This paper investigates alternate approaches for interpreting...

data envelopment analysis provides a theoretical framework for analyzing performance and measuring efficiency. using data envelopment analysis, we can evaluate units and organizations and discuss about their efficiency or inefficiency. in performance assessment of organizations, the most important goal is to rank the units according to their efficiency. since ranking decision making units in da...

One of the drawbacks of Data Envelopment Analysis (DEA) is the problem of lack of discrimination among efficient Decision Making Units (DMUs). A method for removing this difficulty is called changing reference set proposed by Jahanshahloo and et.al (2007). The method has some drawbacks. In this paper a modified method and new method to overcome this problems are suggested. The main advantage of...

Conventional data envelopment analysis (DEA) assists decision makers in distinguishing between efficient and inefficient decision making units (DMUs) in a homogeneous group. However, DEA does not provide more information about the efficient DMUs. One of the interesting research subjects is to discriminate between efficient DMUs. The aim of this paper is ranking all efficient (extreme and non-ex...

‎‎In the Data Envelopment Analysis (DEA) the efficiency of the units‎ ‎can be obtained by identifying the degree of the importance of the‎ ‎criteria (inputs-outputs).In DEA basic models‎, ‎challenges are zero‎ ‎and unequal weights of the criteria when decision‎- ‎making units are‎ ‎evaluated‎. ‎One of the strategies applied to deal with these problems‎ ‎is using common weights of the each input...

data envelopment analysis (dea) is a widely recognized approach for evaluating the efficiencies of decision making units (dmus). because of easy and successful application and case studies, dea has gained much attention and widespread use by business and academy researchers. the conventional dea models (e.g. bcc and ccr) make an assumption that input and output data are exact values on a ratio ...

data envelopment analysis (dea) technique now widely use for efficiency evaluation of a set of decision making units (dmus). as regards of the necessity for ranking efficient units different dea models presented each of which has advantages and rank efficient units from special aspects. note that all the existing ranking models have disadvantages, as well and there is not a model in which all t...